{"id":"W2028503183","doi":"10.1016/j.theriogenology.2008.09.045","title":"Effects of progesterone presynchronization and eCG on pregnancy rates to GnRH-based, timed-AI in beef cattle","year":2008,"lang":"en","type":"article","venue":"Theriogenology","topic":"Reproductive Physiology in Livestock","field":"Agricultural and Biological Sciences","cited_by":104,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan; Agriculture Food and Rural Development; Agriculture and Agri-Food Canada","funders":"","keywords":"Ovulation; Pregnancy; Animal science; Parity (physics); Pregnancy rate; Medicine; Internal medicine; Follicle; Endocrinology; Estrous cycle; Biology; Hormone","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000457082,0.0001086566,0.000195125,0.00002352266,0.00005535679,0.000002732944,0.000127784,0.00009006094,0.00003636241],"category_scores_gemma":[0.00006499279,0.00004827973,0.00001860762,0.0001711683,0.0002032871,0.00004154441,0.00004901197,0.00006821006,0.00003594419],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001786294,"about_ca_system_score_gemma":0.00001068394,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009831825,"about_ca_topic_score_gemma":0.00003753807,"domain_scores_codex":[0.9991512,0.0001482442,0.0001353613,0.0003176219,0.00005685061,0.0001907603],"domain_scores_gemma":[0.9996243,0.0001662299,0.00005903253,0.0000763467,0.00003822304,0.00003585207],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001003996,0.0001705235,0.03626383,0.0000231717,0.00001077064,0.000004869322,0.0002539982,0.0001122,0.9556802,0.00009884415,0.00003425822,0.007246918],"study_design_scores_gemma":[0.0001910904,0.002470861,0.8492031,0.00005089706,0.000004293134,0.000006230399,0.000009033088,0.00001972809,0.1475159,0.000327666,0.0001123868,0.00008885634],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973728,0.0007238581,0.000008608187,0.001148171,0.00005304636,0.0006055749,0.000004057904,0.00002422478,0.00005963769],"genre_scores_gemma":[0.9993903,0.00004414981,0.0001485363,0.0002018835,0.00004232461,0.00008789355,0.000009983619,0.000001626744,0.00007332206],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8129392,"threshold_uncertainty_score":0.196879,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01490827086680389,"score_gpt":0.2328189994402561,"score_spread":0.2179107285734522,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}